用于光学神经网络硬件系统误差纠正的虚拟神经网络

提出了一种用于修正光学神经网络硬件系统误差的虚拟神经网络模型，光学实验结果表明该网络能够有效地消除硬件系统误差对实验结果的影响。     

THE LARGE TIME BEHAVIOR OF SPECTRAL APPROXIMATION FOR A CLASS OF PSEUDOPARABOLIC VISCOUS DIFFUSION EQUATION

The asymptotic behavior of the solutions to a class of pseudoparabolic viscous diffusion equation with periodic initial condition is studied by using the spectral method. The semidiscrete Fourier approximate solution of the problem is constructed and the error estiation between spectral approximate solution and exact solution on large time is also obtained. The existence of the approximate attractor AN and the upper semicontinuity d(AN,A)→0 are proved.     

高斯光束照射下的圆盘夫琅禾费衍射

推导了高斯光束照射圆孔或圆盘的衍射场普遍表达式，计算了半波带数接近于零的情况下上述衍射场的数据，进而分析了圆盘衍射场在艾里斑中增加一个暗环的原因。     

奇异矩阵的Krylov方法的误差分析比较

Krylov方法是求解线性方程组Ax=b,A∈CN×N,b∈CN的一种迭代方法,当A非奇异时,已有很好研究.而当A奇异或接近奇异阵时,在一定的假定条件下,Krylov方法的解与范教最小的最小二乘解A+b之间的差是可以估计出来的.     

高精度星形轮廓面数控加工方法研究

本文提出了计算星形轮廓面数控加工刀位的插补方法和刀具半径补偿方法，以及决定加工方法误差大小的走刀步长和刀具半径的确定准则，从而建立了该曲面的加工方法其理论加工精度为１μｍ．进给速度相对误差小于１％，在３３ＭＨＺ８０３８６ＣＰＵ（带８０３８７协处理器）上每计算一次刀位占用机时小于１．２ｍｓ．具有精度高和实时性好的特点．     

左截断右删失下核密度估计的L1距离的界

本文在左截断右删失数据下获得了概论密度的核估计的L1距离的一个上界．     

超声波测井仪测量精度问题

本文着重阐述立井钻井法施工时,使用CJ501声波并仪测量井筒直径,影响测量精度的因素及其误差修正方法.     

Modified Equations for Stochastic Differential Equations

We describe a backward error analysis for stochastic differential equations with respect to weak convergence. Modified equations are provided for forward and backward Euler approximations to Itô SDEs with additive noise, and extensions to other types of equation and approximation are discussed.     

一种测试圆度的新算法

轴承的外圆环、内圆环是否圆以及圆的程度如何,都会对使用轴承的机械设备产生很大的影响,但是它们是否圆,靠肉眼是很难观察出来的,我们只能用仪器进行测量,假设仪器测量的结果是准确的或者误差是确定的,由于算法不合理,可能本来是圆的但得到的结果却是不圆的,这样就把本来是合格的产品当作废品处理了,这是不应该出现的问题,本文提供了一种新的算法来解决此问题.     

Deconvolving compactly supported densities

This paper addresses the statistical problem of density deconvolution under the condition that the density to be estimated has compact support. We introduce a new estimation procedure, which establishes faster rates of convergence for smooth densities as compared to the optimal rates for smooth densities with unbounded support. This framework also allows us to relax the usual condition of known error density with non-vanishing Fourier transform, so that a nonparametric class of densities is valid; therefore, even the shape of the noise density need not be assumed. These results can also be generalized for fast decaying densities with unbounded support. We prove optimality of the rates in the underlying experiment and study the practical performance of our estimator by numerical simulations.